Nec corporation (20240104587). FAMILIARITY DEGREE ESTIMATION APPARATUS, FAMILIARITY DEGREE ESTIMATION METHOD, AND RECORDING MEDIUM simplified abstract
Contents
- 1 FAMILIARITY DEGREE ESTIMATION APPARATUS, FAMILIARITY DEGREE ESTIMATION METHOD, AND RECORDING MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 FAMILIARITY DEGREE ESTIMATION APPARATUS, FAMILIARITY DEGREE ESTIMATION METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
FAMILIARITY DEGREE ESTIMATION APPARATUS, FAMILIARITY DEGREE ESTIMATION METHOD, AND RECORDING MEDIUM
Organization Name
Inventor(s)
Hiroshi Hashimoto of Tokyo (JP)
FAMILIARITY DEGREE ESTIMATION APPARATUS, FAMILIARITY DEGREE ESTIMATION METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104587 titled 'FAMILIARITY DEGREE ESTIMATION APPARATUS, FAMILIARITY DEGREE ESTIMATION METHOD, AND RECORDING MEDIUM
Simplified Explanation
The patent application describes a system for estimating the familiarity degree of a customer with an item based on the time the customer spends viewing the item and holding it.
- First video process unit calculates the time when a hand is being viewed
- Second video process unit calculates the time when an item is being held
- Familiarity degree estimation unit calculates the time the item is being viewed based on the time the hand is being viewed and the time the item is being held
Potential Applications
This technology could be applied in retail settings to understand customer familiarity with products and improve marketing strategies.
Problems Solved
This technology helps businesses gauge customer interest and familiarity with products, allowing for more targeted marketing efforts.
Benefits
- Improved customer engagement - Enhanced marketing strategies - Increased sales potential
Potential Commercial Applications
Optimizing product placement in stores based on customer familiarity data.
Possible Prior Art
There may be prior art related to video analysis for customer behavior in retail settings, but specific examples are not provided in the abstract.
Unanswered Questions
How does the system differentiate between different customers interacting with the same item?
The abstract does not specify how the system accounts for multiple customers handling the same item.
What measures are in place to ensure the accuracy of familiarity degree estimations?
The abstract does not detail any validation methods or accuracy checks for the familiarity degree estimations.
Original Abstract Submitted
in a familiarity degree estimation apparatus, a first video process unit calculates a time while a hand being viewed, which is a time when a customer is viewing the hand. a second video process unit calculates a time while an item being held, which is a time when the customer is holding an item. a familiarity degree estimation unit calculates a time while the item being viewed based on the time while a hand being viewed and the time while the item being held, and estimates that the longer the time while the item being viewed, the lower the degree of familiarity of the customer with respect to the item.
